Evidence map›Paper›PMID 23517090›Full record

ArticleBMC bioinformatics2013

Application of text-mining for updating protein post-translational modification annotation in UniProtKB.

Anne-Lise Veuthey, Alan Bridge, Julien Gobeill, Patrick Ruch, Johanna R McEntyre, Lydie Bougueleret, Ioannis Xenarios

Abstract read
In one paragraph

Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Current Approaches in Supersecondary Structures Investigation.International journal of molecular sciences · 2021
    Review
  6. Article
  7. Triage by ranking to support the curation of protein interactions.Database : the journal of biological databases and curation · 2017
    Article
  8. Article
  9. The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track.Database : the journal of biological databases and curation · 2016
    Article
  10. Article
  11. Article
  12. Review
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Anne-Lise VeutheySwiss-Prot Group, SIB Swiss Institute of Bioinformatics, 1 Michel Servet, 1211 Geneva 4, Switzerland. anne-lise.veuthey@isb-sib.ch
Alan Bridge
Julien Gobeill
Patrick Ruch
Johanna R McEntyre
Lydie Bougueleret
Ioannis Xenarios

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe annotation of protein post-translational modifications (PTMs) is an important task of UniProtKB curators and, with continuing improvements in experimental methodology, an ever greater number of articles are being published on this topic. To help curators cope with this growing body of information we have developed a system which extracts information from the scientific literature for the most frequently annotated PTMs in UniProtKB.

resultsThe procedure uses a pattern-matching and rule-based approach to extract sentences with information on the type and site of modification. A ranked list of protein candidates for the modification is also provided. For PTM extraction, precision varies from 57% to 94%, and recall from 75% to 95%, according to the type of modification. The procedure was used to track new publications on PTMs and to recover potential supporting evidence for phosphorylation sites annotated based on the results of large scale proteomics experiments.

conclusionsThe information retrieval and extraction method we have developed in this study forms the basis of a simple tool for the manual curation of protein post-translational modifications in UniProtKB/Swiss-Prot. Our work demonstrates that even simple text-mining tools can be effectively adapted for database curation tasks, providing that a thorough understanding of the working process and requirements are first obtained. This system can be accessed at http://eagl.unige.ch/PTM/.

Indexed as

Databases, ProteinKnowledge BasesProtein Processing, Post-TranslationalData MiningHumansMolecular Sequence AnnotationProteomics

Identifiers

PMID23517090
PMCPMC3660268

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.